Abstract: According to one embodiment, a computer-implemented method for clustering and answering questions is provided. The method includes obtaining an input from a user device, wherein the input comprises a text. The method includes transforming, using a first natural language processing model, the text into a first embedding vector representing a location in an embedding graph, wherein the embedding graph comprises a plurality of prior question embedding vectors representing respective locations in the embedding graph and each prior question embedding vector is associated with at least one answer text. The method includes selecting a set of one or more prior question embedding vectors based on a distance in the embedding graph between the location of the first embedding vector and the respective locations of the plurality of prior question embedding vectors.